Qilei Chen

1.1k citations
48 papers · 773 · 1 hit paper · h-index 16

Impact in

Papers in

Qilei Chen

47 papers receiving 757 citations

Qilei Chen's Hit Papers

Prediction of the severity of marine accidents using improved machine learning 2024 · 51 citations
510+1Years since publication1020304050

Peers

Qilei Chen
Comparison fields: 5 of 116
  • Complementary and alternative medicine 74
  • Pharmacology 62
  • Biochemistry 35
  • Analytical Chemistry 53
  • Radiology, Nuclear Medicine and Imaging 86
Replace Peiyu Yan with:
Peiyu Yan China
Muhammad Majid Pakistan
Xin Chai China
Lemei Zhu China
Xiangmei Zhao China
Zeeshan Javed Pakistan
Sujuan Wang China
Rohini Karunakaran Malaysia
Leihong Wu United States
Yue Liu China
Qilei Chen relative to Peiyu Yan China Peiyu Yan's profile →
Citations per field
00.5×8.6×
Peiyu Yan · 1×
Citations per year

Countries citing papers authored by Qilei Chen

Since Specialization
Citations

This map shows the geographic impact of Qilei Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qilei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qilei Chen more than expected).

Fields of papers citing papers by Qilei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qilei Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qilei Chen. The network helps show where Qilei Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Qilei Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Qilei Chen Line = papers co-authored together Qilei Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201366
2 201661
3
Prediction of the severity of marine accidents using improved machine learning
Hit paper breakdown →
202451
4 201747
5 202147
6 202146
7 201743
8 202137
9 202337
10 201828
11 202426
12 201424
13 201624
14 202122
15 202018
16 201717
17 201914
18 202013
19 201913
20 202212

About Qilei Chen

Qilei Chen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Plant Science, Oncology and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 773 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (4 papers), Phytochemistry and Biological Activities (4 papers), Natural product bioactivities and synthesis (4 papers), COVID-19 diagnosis using AI (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Colorectal Cancer Screening and Detection (3 papers), Traditional Chinese Medicine Analysis (3 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Complementary and alternative medicine (74 citations), Pharmacology (62 citations), Biochemistry (35 citations), Analytical Chemistry (53 citations) and Radiology, Nuclear Medicine and Imaging (86 citations). Qilei Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hubiao Chen, Tao Yi, Zhongzhen Zhao, Yina Tang, Lin Zhu, Jianye Zhang, Benyuan Liu, Yu Cao, Jun Xu and Hiu Yee Kwan. Their work appears in journals such as Frontiers in Pharmacology, Molecules, Ecotoxicology and Environmental Safety, Acta Pharmaceutica Sinica B and Frontiers in Microbiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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